Task 5125876
| Name | ParityModified-1607233775-3730-98_0 |
| Workunit | 3079033 |
| Created | 1 May 2021, 2:46:26 UTC |
| Sent | 1 May 2021, 2:46:51 UTC |
| Report deadline | 8 May 2021, 2:46:51 UTC |
| Received | 1 May 2021, 5:34:12 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11158 |
| Run time | 55 min 42 sec |
| CPU time | |
| Validate state | Valid |
| Credit | 780.00 |
| Device peak FLOPS | 13,837.92 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (amdrocm) x86_64-pc-linux-gnu |
| Peak working set size | 1.66 GB |
| Peak swap size | 8.35 GB |
| Peak disk usage | 2.25 GB |
Stderr output
<core_client_version>7.16.6</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__rocm -c --maxepoch 128 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly 21:37:54 (11191): start_timer_thread(): pthread_create(): 22Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: Vega 20 [Radeon VII]) [2021-04-30 21:37:54 main:442] : INFO : Set logging level to 1 [2021-04-30 21:37:54 main:448] : INFO : Running in BOINC Client mode [2021-04-30 21:37:54 main:451] : INFO : Resolving all filenames [2021-04-30 21:37:54 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-04-30 21:37:54 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233775-3730-98_0_r191984481_1 (exists = 0) [2021-04-30 21:37:54 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233775-3730-98_0_r191984481_0 (exists = 0) [2021-04-30 21:37:54 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233775-3730-98 (exists = 1) [2021-04-30 21:37:54 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-04-30 21:37:54 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-04-30 21:37:54 main:481] : INFO : Configuration: [2021-04-30 21:37:54 main:482] : INFO : Model type: GRU [2021-04-30 21:37:54 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-04-30 21:37:54 main:484] : INFO : Max Epochs: 128 [2021-04-30 21:37:54 main:485] : INFO : Batch Size: 128 [2021-04-30 21:37:54 main:486] : INFO : Learning Rate: 0.01 [2021-04-30 21:37:54 main:487] : INFO : Patience: 10 [2021-04-30 21:37:54 main:488] : INFO : Hidden Width: 12 [2021-04-30 21:37:54 main:489] : INFO : # Recurrent Layers: 4 [2021-04-30 21:37:54 main:490] : INFO : # Backend Layers: 4 [2021-04-30 21:37:54 main:491] : INFO : # Threads: 1 [2021-04-30 21:37:54 main:493] : INFO : Preparing Dataset [2021-04-30 21:37:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-04-30 21:37:55 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-04-30 21:37:56 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-04-30 21:37:56 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-04-30 21:37:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-04-30 21:37:57 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-04-30 21:37:57 main:501] : INFO : Creating Model [2021-04-30 21:37:57 main:514] : INFO : Preparing config file [2021-04-30 21:37:57 main:526] : INFO : Creating new config file [2021-04-30 21:37:57 main:545] : INFO : This is a continuation WU, loading previous network [2021-04-30 21:37:57 main:566] : INFO : Loading DataLoader into Memory [2021-04-30 21:37:57 main:569] : INFO : Starting Training [2021-04-30 21:38:34 main:581] : INFO : Epoch 1 | loss: 0.0313423 | val_loss: 0.0312461 | Time: 37601.7 ms [2021-04-30 21:38:59 main:581] : INFO : Epoch 2 | loss: 0.0312279 | val_loss: 0.0312277 | Time: 24359.7 ms [2021-04-30 21:39:22 main:581] : INFO : Epoch 3 | loss: 0.0312199 | val_loss: 0.0312268 | Time: 23567.8 ms [2021-04-30 21:39:47 main:581] : INFO : Epoch 4 | loss: 0.0312183 | val_loss: 0.0312208 | Time: 24990.2 ms [2021-04-30 21:40:15 main:581] : INFO : Epoch 5 | loss: 0.0312178 | val_loss: 0.0312204 | Time: 27273.5 ms [2021-04-30 21:40:37 main:581] : INFO : Epoch 6 | loss: 0.0312163 | val_loss: 0.0312214 | Time: 22275.9 ms [2021-04-30 21:40:59 main:581] : INFO : Epoch 7 | loss: 0.0312157 | val_loss: 0.0312251 | Time: 21751.8 ms [2021-04-30 21:41:21 main:581] : INFO : Epoch 8 | loss: 0.0312175 | val_loss: 0.0312236 | Time: 22342 ms [2021-04-30 21:41:46 main:581] : INFO : Epoch 9 | loss: 0.0312162 | val_loss: 0.0312192 | Time: 24594.1 ms [2021-04-30 21:42:11 main:581] : INFO : Epoch 10 | loss: 0.0312151 | val_loss: 0.0312175 | Time: 25780.2 ms [2021-04-30 21:42:38 main:581] : INFO : Epoch 11 | loss: 0.0312152 | val_loss: 0.0312191 | Time: 26327.2 ms [2021-04-30 21:43:04 main:581] : INFO : Epoch 12 | loss: 0.0312154 | val_loss: 0.031218 | Time: 26259.8 ms [2021-04-30 21:43:32 main:581] : INFO : Epoch 13 | loss: 0.0312147 | val_loss: 0.0312216 | Time: 28027.8 ms [2021-04-30 21:43:58 main:581] : INFO : Epoch 14 | loss: 0.031217 | val_loss: 0.0312204 | Time: 25855.8 ms [2021-04-30 21:44:23 main:581] : INFO : Epoch 15 | loss: 0.0312159 | val_loss: 0.0312205 | Time: 24831.9 ms [2021-04-30 21:44:51 main:581] : INFO : Epoch 16 | loss: 0.0312159 | val_loss: 0.0312196 | Time: 28685.6 ms [2021-04-30 21:45:18 main:581] : INFO : Epoch 17 | loss: 0.0312156 | val_loss: 0.0312205 | Time: 26294.1 ms [2021-04-30 21:45:45 main:581] : INFO : Epoch 18 | loss: 0.0312144 | val_loss: 0.0312193 | Time: 27347.9 ms [2021-04-30 21:46:11 main:581] : INFO : Epoch 19 | loss: 0.0312135 | val_loss: 0.031218 | Time: 25646.4 ms [2021-04-30 21:46:34 main:581] : INFO : Epoch 20 | loss: 0.0312126 | val_loss: 0.0312193 | Time: 23093.2 ms [2021-04-30 21:46:56 main:581] : INFO : Epoch 21 | loss: 0.0312129 | val_loss: 0.0312175 | Time: 21965.4 ms [2021-04-30 21:47:24 main:581] : INFO : Epoch 22 | loss: 0.0312125 | val_loss: 0.0312173 | Time: 28307.6 ms [2021-04-30 21:47:52 main:581] : INFO : Epoch 23 | loss: 0.0312146 | val_loss: 0.0312186 | Time: 28434.9 ms [2021-04-30 21:48:16 main:581] : INFO : Epoch 24 | loss: 0.0312129 | val_loss: 0.0312173 | Time: 23844.7 ms [2021-04-30 21:48:44 main:581] : INFO : Epoch 25 | loss: 0.0312114 | val_loss: 0.031219 | Time: 27312.4 ms [2021-04-30 21:49:11 main:581] : INFO : Epoch 26 | loss: 0.031211 | val_loss: 0.0312169 | Time: 26934.1 ms [2021-04-30 21:49:38 main:581] : INFO : Epoch 27 | loss: 0.0312111 | val_loss: 0.0312176 | Time: 27768.6 ms [2021-04-30 21:50:06 main:581] : INFO : Epoch 28 | loss: 0.0312104 | val_loss: 0.0312167 | Time: 27847.5 ms [2021-04-30 21:50:29 main:581] : INFO : Epoch 29 | loss: 0.0312116 | val_loss: 0.0312165 | Time: 22787.3 ms [2021-04-30 21:50:57 main:581] : INFO : Epoch 30 | loss: 0.0312105 | val_loss: 0.031217 | Time: 28407.9 ms [2021-04-30 21:51:26 main:581] : INFO : Epoch 31 | loss: 0.0312119 | val_loss: 0.0312244 | Time: 28907.9 ms [2021-04-30 21:51:50 main:581] : INFO : Epoch 32 | loss: 0.0312136 | val_loss: 0.0312178 | Time: 24071.7 ms [2021-04-30 21:52:13 main:581] : INFO : Epoch 33 | loss: 0.031212 | val_loss: 0.0312165 | Time: 22927.8 ms [2021-04-30 21:52:41 main:581] : INFO : Epoch 34 | loss: 0.0312125 | val_loss: 0.0312167 | Time: 27335.8 ms [2021-04-30 21:53:06 main:581] : INFO : Epoch 35 | loss: 0.0312117 | val_loss: 0.0312193 | Time: 25160.7 ms [2021-04-30 21:53:31 main:581] : INFO : Epoch 36 | loss: 0.0312113 | val_loss: 0.0312167 | Time: 25123.3 ms [2021-04-30 21:53:59 main:581] : INFO : Epoch 37 | loss: 0.0312104 | val_loss: 0.0312172 | Time: 27807.6 ms [2021-04-30 21:54:23 main:581] : INFO : Epoch 38 | loss: 0.0312119 | val_loss: 0.0312175 | Time: 23993 ms [2021-04-30 21:54:51 main:581] : INFO : Epoch 39 | loss: 0.0312104 | val_loss: 0.0312266 | Time: 28543.7 ms [2021-04-30 21:55:19 main:581] : INFO : Epoch 40 | loss: 0.0312118 | val_loss: 0.0312157 | Time: 27590.7 ms [2021-04-30 21:55:46 main:581] : INFO : Epoch 41 | loss: 0.0312098 | val_loss: 0.0312186 | Time: 27619.5 ms [2021-04-30 21:56:14 main:581] : INFO : Epoch 42 | loss: 0.0312119 | val_loss: 0.0312181 | Time: 27830.2 ms [2021-04-30 21:56:41 main:581] : INFO : Epoch 43 | loss: 0.0312092 | val_loss: 0.0312166 | Time: 26964.3 ms [2021-04-30 21:57:07 main:581] : INFO : Epoch 44 | loss: 0.0312099 | val_loss: 0.0312178 | Time: 25752.8 ms [2021-04-30 21:57:35 main:581] : INFO : Epoch 45 | loss: 0.0312091 | val_loss: 0.0312164 | Time: 28317.7 ms [2021-04-30 21:58:03 main:581] : INFO : Epoch 46 | loss: 0.0312096 | val_loss: 0.0312164 | Time: 27647.5 ms [2021-04-30 21:58:29 main:581] : INFO : Epoch 47 | loss: 0.0312115 | val_loss: 0.0312166 | Time: 26026.7 ms [2021-04-30 21:58:57 main:581] : INFO : Epoch 48 | loss: 0.0312098 | val_loss: 0.0312153 | Time: 27575.9 ms [2021-04-30 21:59:25 main:581] : INFO : Epoch 49 | loss: 0.0312089 | val_loss: 0.0312175 | Time: 28718.4 ms [2021-04-30 21:59:52 main:581] : INFO : Epoch 50 | loss: 0.0312096 | val_loss: 0.0312158 | Time: 26265.4 ms [2021-04-30 22:00:17 main:581] : INFO : Epoch 51 | loss: 0.0312092 | val_loss: 0.0312168 | Time: 25343.5 ms [2021-04-30 22:00:46 main:581] : INFO : Epoch 52 | loss: 0.0312084 | val_loss: 0.0312186 | Time: 28850.2 ms [2021-04-30 22:01:12 main:581] : INFO : Epoch 53 | loss: 0.031211 | val_loss: 0.0312186 | Time: 25810.6 ms [2021-04-30 22:01:39 main:581] : INFO : Epoch 54 | loss: 0.0312093 | val_loss: 0.0312159 | Time: 27146.6 ms [2021-04-30 22:02:06 main:581] : INFO : Epoch 55 | loss: 0.0312084 | val_loss: 0.0312159 | Time: 27191.7 ms [2021-04-30 22:02:33 main:581] : INFO : Epoch 56 | loss: 0.0312076 | val_loss: 0.0312158 | Time: 27472.5 ms [2021-04-30 22:02:59 main:581] : INFO : Epoch 57 | loss: 0.0312079 | val_loss: 0.0312153 | Time: 25987.3 ms [2021-04-30 22:03:26 main:581] : INFO : Epoch 58 | loss: 0.0312085 | val_loss: 0.0312167 | Time: 26859.8 ms [2021-04-30 22:03:54 main:581] : INFO : Epoch 59 | loss: 0.0312095 | val_loss: 0.0312162 | Time: 27348.4 ms [2021-04-30 22:04:19 main:581] : INFO : Epoch 60 | loss: 0.0312095 | val_loss: 0.0312162 | Time: 25359.3 ms [2021-04-30 22:04:47 main:581] : INFO : Epoch 61 | loss: 0.0312124 | val_loss: 0.0312216 | Time: 28280.8 ms [2021-04-30 22:05:11 main:581] : INFO : Epoch 62 | loss: 0.0312107 | val_loss: 0.031219 | Time: 23830.8 ms [2021-04-30 22:05:38 main:581] : INFO : Epoch 63 | loss: 0.0312081 | val_loss: 0.0312161 | Time: 27090.9 ms [2021-04-30 22:06:07 main:581] : INFO : Epoch 64 | loss: 0.0312078 | val_loss: 0.0312158 | Time: 28548.2 ms [2021-04-30 22:06:35 main:581] : INFO : Epoch 65 | loss: 0.0312078 | val_loss: 0.0312159 | Time: 27881.9 ms [2021-04-30 22:06:56 main:581] : INFO : Epoch 66 | loss: 0.0312091 | val_loss: 0.0312148 | Time: 21914.2 ms [2021-04-30 22:07:19 main:581] : INFO : Epoch 67 | loss: 0.0312096 | val_loss: 0.0312171 | Time: 22518.9 ms [2021-04-30 22:07:42 main:581] : INFO : Epoch 68 | loss: 0.0312085 | val_loss: 0.0312191 | Time: 22685.2 ms [2021-04-30 22:08:10 main:581] : INFO : Epoch 69 | loss: 0.0312081 | val_loss: 0.0312153 | Time: 28463.1 ms [2021-04-30 22:08:34 main:581] : INFO : Epoch 70 | loss: 0.0312075 | val_loss: 0.0312154 | Time: 23871.8 ms [2021-04-30 22:09:03 main:581] : INFO : Epoch 71 | loss: 0.0312078 | val_loss: 0.0312166 | Time: 28879.8 ms [2021-04-30 22:09:30 main:581] : INFO : Epoch 72 | loss: 0.031208 | val_loss: 0.0312176 | Time: 27296.7 ms [2021-04-30 22:09:56 main:581] : INFO : Epoch 73 | loss: 0.0312076 | val_loss: 0.0312159 | Time: 26150.9 ms [2021-04-30 22:10:22 main:581] : INFO : Epoch 74 | loss: 0.0312093 | val_loss: 0.031217 | Time: 25582.9 ms [2021-04-30 22:10:47 main:581] : INFO : Epoch 75 | loss: 0.0312106 | val_loss: 0.0312168 | Time: 25588.6 ms [2021-04-30 22:11:13 main:581] : INFO : Epoch 76 | loss: 0.0312091 | val_loss: 0.0312155 | Time: 25703.8 ms [2021-04-30 22:11:39 main:581] : INFO : Epoch 77 | loss: 0.0312079 | val_loss: 0.031215 | Time: 26168.3 ms [2021-04-30 22:12:04 main:581] : INFO : Epoch 78 | loss: 0.0312086 | val_loss: 0.0312152 | Time: 25122.4 ms [2021-04-30 22:12:32 main:581] : INFO : Epoch 79 | loss: 0.0312084 | val_loss: 0.0312147 | Time: 27773.5 ms [2021-04-30 22:13:00 main:581] : INFO : Epoch 80 | loss: 0.0312082 | val_loss: 0.0312145 | Time: 27327.9 ms [2021-04-30 22:13:25 main:581] : INFO : Epoch 81 | loss: 0.031208 | val_loss: 0.0312153 | Time: 25454.8 ms [2021-04-30 22:13:52 main:581] : INFO : Epoch 82 | loss: 0.0312074 | val_loss: 0.0312142 | Time: 26967.7 ms [2021-04-30 22:14:16 main:581] : INFO : Epoch 83 | loss: 0.0312083 | val_loss: 0.0312166 | Time: 23851.8 ms [2021-04-30 22:14:42 main:581] : INFO : Epoch 84 | loss: 0.0312077 | val_loss: 0.0312163 | Time: 26371.8 ms [2021-04-30 22:15:06 main:581] : INFO : Epoch 85 | loss: 0.0312092 | val_loss: 0.0312157 | Time: 23819.7 ms [2021-04-30 22:15:31 main:581] : INFO : Epoch 86 | loss: 0.0312088 | val_loss: 0.0312233 | Time: 24938.2 ms [2021-04-30 22:15:57 main:581] : INFO : Epoch 87 | loss: 0.0312115 | val_loss: 0.03122 | Time: 26133.8 ms [2021-04-30 22:16:22 main:581] : INFO : Epoch 88 | loss: 0.0312075 | val_loss: 0.0312146 | Time: 25327.4 ms [2021-04-30 22:16:48 main:581] : INFO : Epoch 89 | loss: 0.0312068 | val_loss: 0.0312141 | Time: 25887.9 ms [2021-04-30 22:17:17 main:581] : INFO : Epoch 90 | loss: 0.0312092 | val_loss: 0.0312173 | Time: 28371.7 ms [2021-04-30 22:17:42 main:581] : INFO : Epoch 91 | loss: 0.0312078 | val_loss: 0.0312141 | Time: 25027.7 ms [2021-04-30 22:18:07 main:581] : INFO : Epoch 92 | loss: 0.0312064 | val_loss: 0.0312149 | Time: 25298.9 ms [2021-04-30 22:18:29 main:581] : INFO : Epoch 93 | loss: 0.0312082 | val_loss: 0.0312167 | Time: 21685.1 ms [2021-04-30 22:18:57 main:581] : INFO : Epoch 94 | loss: 0.0312075 | val_loss: 0.0312134 | Time: 27951.4 ms [2021-04-30 22:19:20 main:581] : INFO : Epoch 95 | loss: 0.0312064 | val_loss: 0.0312141 | Time: 23531.7 ms [2021-04-30 22:19:49 main:581] : INFO : Epoch 96 | loss: 0.0312068 | val_loss: 0.0312135 | Time: 28625.4 ms [2021-04-30 22:20:12 main:581] : INFO : Epoch 97 | loss: 0.0312075 | val_loss: 0.0312139 | Time: 22740.7 ms [2021-04-30 22:20:36 main:581] : INFO : Epoch 98 | loss: 0.0312075 | val_loss: 0.0312164 | Time: 24229 ms [2021-04-30 22:21:00 main:581] : INFO : Epoch 99 | loss: 0.0312083 | val_loss: 0.0312168 | Time: 24248.6 ms [2021-04-30 22:21:23 main:581] : INFO : Epoch 100 | loss: 0.0312074 | val_loss: 0.0312136 | Time: 22959.2 ms [2021-04-30 22:21:50 main:581] : INFO : Epoch 101 | loss: 0.0312084 | val_loss: 0.0312157 | Time: 27327.7 ms [2021-04-30 22:22:19 main:581] : INFO : Epoch 102 | loss: 0.0312078 | val_loss: 0.0312135 | Time: 28743.2 ms [2021-04-30 22:22:46 main:581] : INFO : Epoch 103 | loss: 0.0312078 | val_loss: 0.031217 | Time: 27140.2 ms [2021-04-30 22:23:11 main:581] : INFO : Epoch 104 | loss: 0.0312094 | val_loss: 0.0312177 | Time: 25252.8 ms [2021-04-30 22:23:37 main:581] : INFO : Epoch 105 | loss: 0.0312078 | val_loss: 0.0312132 | Time: 25830.7 ms [2021-04-30 22:24:06 main:581] : INFO : Epoch 106 | loss: 0.0312078 | val_loss: 0.0312127 | Time: 28965.2 ms [2021-04-30 22:24:34 main:581] : INFO : Epoch 107 | loss: 0.0312073 | val_loss: 0.0312122 | Time: 27497.3 ms [2021-04-30 22:25:01 main:581] : INFO : Epoch 108 | loss: 0.0312069 | val_loss: 0.0312125 | Time: 27716.9 ms [2021-04-30 22:25:25 main:581] : INFO : Epoch 109 | loss: 0.031209 | val_loss: 0.031213 | Time: 23511.7 ms [2021-04-30 22:25:46 main:581] : INFO : Epoch 110 | loss: 0.0312074 | val_loss: 0.0312128 | Time: 21259.6 ms [2021-04-30 22:26:10 main:581] : INFO : Epoch 111 | loss: 0.0312103 | val_loss: 0.0312158 | Time: 23727.7 ms [2021-04-30 22:26:38 main:581] : INFO : Epoch 112 | loss: 0.03121 | val_loss: 0.0312132 | Time: 28287.5 ms [2021-04-30 22:27:03 main:581] : INFO : Epoch 113 | loss: 0.031208 | val_loss: 0.0312124 | Time: 24480 ms [2021-04-30 22:27:26 main:581] : INFO : Epoch 114 | loss: 0.0312075 | val_loss: 0.0312143 | Time: 23414 ms [2021-04-30 22:27:55 main:581] : INFO : Epoch 115 | loss: 0.031208 | val_loss: 0.0312135 | Time: 28509.5 ms [2021-04-30 22:28:22 main:581] : INFO : Epoch 116 | loss: 0.0312088 | val_loss: 0.031212 | Time: 27427.7 ms [2021-04-30 22:28:47 main:581] : INFO : Epoch 117 | loss: 0.0312101 | val_loss: 0.0312124 | Time: 24513.6 ms [2021-04-30 22:29:12 main:581] : INFO : Epoch 118 | loss: 0.0312067 | val_loss: 0.0312111 | Time: 25553.9 ms [2021-04-30 22:29:41 main:581] : INFO : Epoch 119 | loss: 0.0312074 | val_loss: 0.0312125 | Time: 28638.2 ms [2021-04-30 22:30:07 main:581] : INFO : Epoch 120 | loss: 0.0312071 | val_loss: 0.0312112 | Time: 26641.4 ms [2021-04-30 22:30:33 main:581] : INFO : Epoch 121 | loss: 0.0312066 | val_loss: 0.0312118 | Time: 25377.5 ms [2021-04-30 22:30:59 main:581] : INFO : Epoch 122 | loss: 0.031206 | val_loss: 0.031211 | Time: 26581.9 ms [2021-04-30 22:31:25 main:581] : INFO : Epoch 123 | loss: 0.0312056 | val_loss: 0.0312115 | Time: 25381 ms [2021-04-30 22:31:49 main:581] : INFO : Epoch 124 | loss: 0.0312058 | val_loss: 0.0312115 | Time: 24081.4 ms [2021-04-30 22:32:13 main:581] : INFO : Epoch 125 | loss: 0.031206 | val_loss: 0.0312125 | Time: 24392.8 ms [2021-04-30 22:32:40 main:581] : INFO : Epoch 126 | loss: 0.0312083 | val_loss: 0.0312157 | Time: 26255.8 ms [2021-04-30 22:33:07 main:581] : INFO : Epoch 127 | loss: 0.0312091 | val_loss: 0.0312197 | Time: 27521.4 ms [2021-04-30 22:33:31 main:581] : INFO : Epoch 128 | loss: 0.0312085 | val_loss: 0.0312156 | Time: 24142.5 ms [2021-04-30 22:33:31 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312156 [2021-04-30 22:33:31 main:610] : INFO : Saving end state to config to file [2021-04-30 22:33:31 main:615] : INFO : Success, exiting.. 22:33:31 (11191): called boinc_finish(0) </stderr_txt> ]]>
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A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)